http://www.cnr.it/ontology/cnr/individuo/prodotto/ID49001
A variational approach for the reconstruction of regional scale Eulerian velocity fields from Lagrangian data (Articolo in rivista)
- Type
- Label
- A variational approach for the reconstruction of regional scale Eulerian velocity fields from Lagrangian data (Articolo in rivista) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Alternative label
Taillandier V. (a), Griffa A. (a,b), Molcard A. (c) (2006)
A variational approach for the reconstruction of regional scale Eulerian velocity fields from Lagrangian data
in Ocean modelling (Oxf., Print)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Taillandier V. (a), Griffa A. (a,b), Molcard A. (c) (literal)
- Pagina inizio
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- doi:10.1016/j.ocemod.2005.09.002 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- (a) CNR-ISMAR, Forte Santa Teresa, 19036 Lerici, La Spezia, Italy
(b) RSMAS, Miami, FL, United States
(c) CNR-ISAC, Torino, Italy (literal)
- Titolo
- A variational approach for the reconstruction of regional scale Eulerian velocity fields from Lagrangian data (literal)
- Abstract
- A method for the reconstruction of the mesoscale Eulerian velocity field based on Lagrangian data at given sampling period is presented. A variational approach is used, where information on the float positions are combined with a simple model constraint describing the motion of particles advected in a velocity field. The velocity field of a priori specified space scale is estimated minimizing a cost function which measures the distance between the observed float positions and the model predicted ones for each sampling period. The method is first implemented considering the time-independent approximation of the velocity correction during a time interval shorter than the typical time scale of the mesoscale field. In a second step, this approximation is relaxed to consider inertial oscillations superimposed on the mesoscale field. The method is tested on a numerical regional circulation on the Northwestern Mediterranean Sea, characterized by an Eulerian time scale significantly longer than the inertial period. The observational coverage of the region varies between 80% and 16% and the corresponding error in the velocity reconstruction varies from less than 10% to approximately 50%, with a sampling period of the day. For smaller sampling intervals, the reconstruction is further improved in the time-dependent approximation. Finally, the method is used to combine information from Lagrangian data and General Circulation Models. The results suggest the useful application of the method for assimilation studies.
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